Profiling Report for Forest Fires Data

Dataset statistics

Number of variables	13
Number of observations	517
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	4
Duplicate rows (%)	0.8%
Total size in memory	52.6 KiB
Average record size in memory	104.2 B

Variable types

Numeric	11
Categorical	2

Warnings

Dataset has 4 (0.8%) duplicate rows	Duplicates
`rain` has 509 (98.5%) zeros	Zeros
`area` has 247 (47.8%) zeros	Zeros

Reproduction

Analysis started	2021-03-12 01:46:45.955635
Analysis finished	2021-03-12 01:46:57.983343
Duration	12.03 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

X
Real number (ℝ_≥0)

Distinct	9
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4.669245648
Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Memory size	4.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	4
Q3	7
95-th percentile	8
Maximum	9
Range	8
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.313777829
Coefficient of variation (CV)	0.4955356825
Kurtosis	-1.172330846
Mean	4.669245648
Median Absolute Deviation (MAD)	2
Skewness	0.03624582161
Sum	2414
Variance	5.353567841
Monotocity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
4	91	17.6%
6	86	16.6%
2	73	14.1%
8	61	11.8%
7	60	11.6%
3	55	10.6%
1	48	9.3%
5	30	5.8%
9	13	2.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	48	9.3%
2	73	14.1%
3	55	10.6%
4	91	17.6%
5	30	5.8%

Value	Count	Frequency (%)
9	13	2.5%
8	61	11.8%
7	60	11.6%
6	86	16.6%
5	30	5.8%

Y
Real number (ℝ_≥0)

Distinct	7
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4.299806576
Minimum	2
Maximum	9
Zeros	0
Zeros (%)	0.0%
Memory size	4.2 KiB

Quantile statistics

Minimum	2
5-th percentile	2
Q1	4
median	4
Q3	5
95-th percentile	6
Maximum	9
Range	7
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.229900403
Coefficient of variation (CV)	0.2860362161
Kurtosis	1.420553416
Mean	4.299806576
Median Absolute Deviation (MAD)	1
Skewness	0.4172962459
Sum	2223
Variance	1.512655001
Monotocity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
4	203	39.3%
5	125	24.2%
6	74	14.3%
3	64	12.4%
2	44	8.5%
9	6	1.2%
8	1	0.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	44	8.5%
3	64	12.4%
4	203	39.3%
5	125	24.2%
6	74	14.3%

Value	Count	Frequency (%)
9	6	1.2%
8	1	0.2%
6	74	14.3%
5	125	24.2%
4	203	39.3%

month
Categorical

Distinct	12
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Memory size	4.2 KiB

aug	184
sep	172
mar	54
jul	32
feb	20
Other values (7)	55

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1551
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.2%

Sample

1st row	mar
2nd row	oct
3rd row	oct
4th row	mar
5th row	mar

Value	Count	Frequency (%)
aug	184	35.6%
sep	172	33.3%
mar	54	10.4%
jul	32	6.2%
feb	20	3.9%
jun	17	3.3%
oct	15	2.9%
apr	9	1.7%
dec	9	1.7%
jan	2	0.4%
Other values (2)	3	0.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
aug	184	35.6%
sep	172	33.3%
mar	54	10.4%
jul	32	6.2%
feb	20	3.9%
jun	17	3.3%
oct	15	2.9%
apr	9	1.7%
dec	9	1.7%
jan	2	0.4%
Other values (2)	3	0.6%

Most occurring characters

Value	Count	Frequency (%)
a	251	16.2%
u	233	15.0%
e	201	13.0%
g	184	11.9%
p	181	11.7%
s	172	11.1%
r	63	4.1%
m	56	3.6%
j	51	3.3%
l	32	2.1%
Other values (9)	127	8.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1551	100.0%

Most frequent character per category

Value	Count	Frequency (%)
a	251	16.2%
u	233	15.0%
e	201	13.0%
g	184	11.9%
p	181	11.7%
s	172	11.1%
r	63	4.1%
m	56	3.6%
j	51	3.3%
l	32	2.1%
Other values (9)	127	8.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1551	100.0%

Most frequent character per script

Value	Count	Frequency (%)
a	251	16.2%
u	233	15.0%
e	201	13.0%
g	184	11.9%
p	181	11.7%
s	172	11.1%
r	63	4.1%
m	56	3.6%
j	51	3.3%
l	32	2.1%
Other values (9)	127	8.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1551	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	251	16.2%
u	233	15.0%
e	201	13.0%
g	184	11.9%
p	181	11.7%
s	172	11.1%
r	63	4.1%
m	56	3.6%
j	51	3.3%
l	32	2.1%
Other values (9)	127	8.2%

day
Categorical

Distinct	7
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Memory size	4.2 KiB

sun	95
fri	85
sat	84
mon	74
tue	64
Other values (2)	115

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1551
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	fri
2nd row	tue
3rd row	sat
4th row	fri
5th row	sun

Value	Count	Frequency (%)
sun	95	18.4%
fri	85	16.4%
sat	84	16.2%
mon	74	14.3%
tue	64	12.4%
thu	61	11.8%
wed	54	10.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
sun	95	18.4%
fri	85	16.4%
sat	84	16.2%
mon	74	14.3%
tue	64	12.4%
thu	61	11.8%
wed	54	10.4%

Most occurring characters

Value	Count	Frequency (%)
u	220	14.2%
t	209	13.5%
s	179	11.5%
n	169	10.9%
e	118	7.6%
f	85	5.5%
r	85	5.5%
i	85	5.5%
a	84	5.4%
m	74	4.8%
Other values (4)	243	15.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1551	100.0%

Most frequent character per category

Value	Count	Frequency (%)
u	220	14.2%
t	209	13.5%
s	179	11.5%
n	169	10.9%
e	118	7.6%
f	85	5.5%
r	85	5.5%
i	85	5.5%
a	84	5.4%
m	74	4.8%
Other values (4)	243	15.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1551	100.0%

Most frequent character per script

Value	Count	Frequency (%)
u	220	14.2%
t	209	13.5%
s	179	11.5%
n	169	10.9%
e	118	7.6%
f	85	5.5%
r	85	5.5%
i	85	5.5%
a	84	5.4%
m	74	4.8%
Other values (4)	243	15.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1551	100.0%

Most frequent character per block

Value	Count	Frequency (%)
u	220	14.2%
t	209	13.5%
s	179	11.5%
n	169	10.9%
e	118	7.6%
f	85	5.5%
r	85	5.5%
i	85	5.5%
a	84	5.4%
m	74	4.8%
Other values (4)	243	15.7%

FFMC
Real number (ℝ_≥0)

Distinct	106
Distinct (%)	20.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	90.64468085
Minimum	18.7
Maximum	96.2
Zeros	0
Zeros (%)	0.0%
Memory size	4.2 KiB

Quantile statistics

Minimum	18.7
5-th percentile	84.1
Q1	90.2
median	91.6
Q3	92.9
95-th percentile	95.1
Maximum	96.2
Range	77.5
Interquartile range (IQR)	2.7

Descriptive statistics

Standard deviation	5.520110849
Coefficient of variation (CV)	0.06089834282
Kurtosis	67.06604054
Mean	90.64468085
Median Absolute Deviation (MAD)	1.3
Skewness	-6.575605977
Sum	46863.3
Variance	30.47162378
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
91.6	28	5.4%
92.1	28	5.4%
91	22	4.3%
91.7	19	3.7%
93.7	16	3.1%
92.4	16	3.1%
92.5	15	2.9%
94.8	14	2.7%
90.2	12	2.3%
90.1	12	2.3%
Other values (96)	335	64.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
18.7	1	0.2%
50.4	1	0.2%
53.4	1	0.2%
63.5	2	0.4%
68.2	1	0.2%

Value	Count	Frequency (%)
96.2	2	0.4%
96.1	6	1.2%
96	2	0.4%
95.9	2	0.4%
95.8	1	0.2%

DMC
Real number (ℝ_≥0)

Distinct	215
Distinct (%)	41.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	110.8723404
Minimum	1.1
Maximum	291.3
Zeros	0
Zeros (%)	0.0%
Memory size	4.2 KiB

Quantile statistics

Minimum	1.1
5-th percentile	14.92
Q1	68.6
median	108.3
Q3	142.4
95-th percentile	231.1
Maximum	291.3
Range	290.2
Interquartile range (IQR)	73.8

Descriptive statistics

Standard deviation	64.04648225
Coefficient of variation (CV)	0.5776596941
Kurtosis	0.2048217813
Mean	110.8723404
Median Absolute Deviation (MAD)	34.9
Skewness	0.5474977945
Sum	57321
Variance	4101.951889
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
99	10	1.9%
129.5	9	1.7%
142.4	8	1.5%
231.1	8	1.5%
137	7	1.4%
126.5	7	1.4%
108.4	7	1.4%
108.3	7	1.4%
35.8	7	1.4%
117.9	6	1.2%
Other values (205)	441	85.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.1	1	0.2%
2.4	1	0.2%
3	2	0.4%
3.2	1	0.2%
3.6	1	0.2%

Value	Count	Frequency (%)
291.3	1	0.2%
290	4	0.8%
287.2	1	0.2%
284.9	1	0.2%
276.3	4	0.8%

DC
Real number (ℝ_≥0)

Distinct	219
Distinct (%)	42.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	547.9400387
Minimum	7.9
Maximum	860.6
Zeros	0
Zeros (%)	0.0%
Memory size	4.2 KiB

Quantile statistics

Minimum	7.9
5-th percentile	43.58
Q1	437.7
median	664.2
Q3	713.9
95-th percentile	795.3
Maximum	860.6
Range	852.7
Interquartile range (IQR)	276.2

Descriptive statistics

Standard deviation	248.0661917
Coefficient of variation (CV)	0.4527250688
Kurtosis	-0.245243519
Mean	547.9400387
Median Absolute Deviation (MAD)	80.2
Skewness	-1.100445125
Sum	283285
Variance	61536.83547
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
745.3	10	1.9%
692.6	9	1.7%
698.6	8	1.5%
601.4	8	1.5%
692.3	8	1.5%
715.1	8	1.5%
647.1	7	1.4%
686.5	7	1.4%
706.4	7	1.4%
80.8	7	1.4%
Other values (209)	438	84.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
7.9	1	0.2%
9.3	1	0.2%
15.3	1	0.2%
15.5	1	0.2%
15.8	1	0.2%

Value	Count	Frequency (%)
860.6	1	0.2%
855.3	4	0.8%
849.3	1	0.2%
844	1	0.2%
825.1	4	0.8%

ISI
Real number (ℝ_≥0)

Distinct	119
Distinct (%)	23.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	9.021663443
Minimum	0
Maximum	56.1
Zeros	1
Zeros (%)	0.2%
Memory size	4.2 KiB

Quantile statistics

Minimum	0
5-th percentile	2.6
Q1	6.5
median	8.4
Q3	10.8
95-th percentile	17
Maximum	56.1
Range	56.1
Interquartile range (IQR)	4.3

Descriptive statistics

Standard deviation	4.559477175
Coefficient of variation (CV)	0.5053920714
Kurtosis	21.4580365
Mean	9.021663443
Median Absolute Deviation (MAD)	2.1
Skewness	2.536325266
Sum	4664.2
Variance	20.78883211
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9.6	23	4.4%
7.1	21	4.1%
6.3	20	3.9%
7	17	3.3%
8.4	17	3.3%
6.2	16	3.1%
9.2	15	2.9%
7.5	14	2.7%
8.1	12	2.3%
7.8	12	2.3%
Other values (109)	350	67.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	0.2%
0.4	2	0.4%
0.7	1	0.2%
0.8	3	0.6%
1.1	1	0.2%

Value	Count	Frequency (%)
56.1	1	0.2%
22.7	1	0.2%
22.6	1	0.2%
21.3	1	0.2%
20.3	4	0.8%

temp
Real number (ℝ_≥0)

Distinct	192
Distinct (%)	37.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	18.88916828
Minimum	2.2
Maximum	33.3
Zeros	0
Zeros (%)	0.0%
Memory size	4.2 KiB

Quantile statistics

Minimum	2.2
5-th percentile	8.2
Q1	15.5
median	19.3
Q3	22.8
95-th percentile	27.9
Maximum	33.3
Range	31.1
Interquartile range (IQR)	7.3

Descriptive statistics

Standard deviation	5.80662535
Coefficient of variation (CV)	0.3074050304
Kurtosis	0.1361655077
Mean	18.88916828
Median Absolute Deviation (MAD)	3.6
Skewness	-0.3311722373
Sum	9765.7
Variance	33.71689795
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
17.4	8	1.5%
19.6	8	1.5%
15.4	7	1.4%
20.6	7	1.4%
23.4	6	1.2%
21.6	6	1.2%
17.8	6	1.2%
18.9	6	1.2%
20.7	6	1.2%
19.1	6	1.2%
Other values (182)	451	87.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2.2	1	0.2%
4.2	1	0.2%
4.6	6	1.2%
4.8	1	0.2%
5.1	5	1.0%

Value	Count	Frequency (%)
33.3	1	0.2%
33.1	1	0.2%
32.6	1	0.2%
32.4	2	0.4%
32.3	1	0.2%

RH
Real number (ℝ_≥0)

Distinct	75
Distinct (%)	14.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	44.28820116
Minimum	15
Maximum	100
Zeros	0
Zeros (%)	0.0%
Memory size	4.2 KiB

Quantile statistics

Minimum	15
5-th percentile	24
Q1	33
median	42
Q3	53
95-th percentile	77
Maximum	100
Range	85
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	16.31746924
Coefficient of variation (CV)	0.3684382931
Kurtosis	0.438182856
Mean	44.28820116
Median Absolute Deviation (MAD)	10
Skewness	0.8629040079
Sum	22897
Variance	266.2598024
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
27	33	6.4%
39	24	4.6%
35	20	3.9%
43	17	3.3%
42	17	3.3%
45	16	3.1%
34	16	3.1%
33	15	2.9%
40	15	2.9%
46	14	2.7%
Other values (65)	330	63.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
15	2	0.4%
17	1	0.2%
18	1	0.2%
19	4	0.8%
20	1	0.2%

Value	Count	Frequency (%)
100	1	0.2%
99	1	0.2%
97	1	0.2%
96	1	0.2%
94	1	0.2%

wind
Real number (ℝ_≥0)

Distinct	21
Distinct (%)	4.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4.017601547
Minimum	0.4
Maximum	9.4
Zeros	0
Zeros (%)	0.0%
Memory size	4.2 KiB

Quantile statistics

Minimum	0.4
5-th percentile	1.3
Q1	2.7
median	4
Q3	4.9
95-th percentile	7.6
Maximum	9.4
Range	9
Interquartile range (IQR)	2.2

Descriptive statistics

Standard deviation	1.791652601
Coefficient of variation (CV)	0.4459507942
Kurtosis	0.05432381711
Mean	4.017601547
Median Absolute Deviation (MAD)	1.3
Skewness	0.571001127
Sum	2077.1
Variance	3.210019042
Monotocity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
2.2	53	10.3%
3.1	53	10.3%
4	51	9.9%
4.9	48	9.3%
2.7	44	8.5%
4.5	41	7.9%
5.4	41	7.9%
3.6	40	7.7%
1.8	31	6.0%
5.8	24	4.6%
Other values (11)	91	17.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.4	1	0.2%
0.9	13	2.5%
1.3	14	2.7%
1.8	31	6.0%
2.2	53	10.3%

Value	Count	Frequency (%)
9.4	4	0.8%
8.9	1	0.2%
8.5	8	1.5%
8	5	1.0%
7.6	14	2.7%

rain
Real number (ℝ_≥0)

ZEROS

Distinct	7
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.02166344294
Minimum	0
Maximum	6.4
Zeros	509
Zeros (%)	98.5%
Memory size	4.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	6.4
Range	6.4
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.2959591209
Coefficient of variation (CV)	13.66168442
Kurtosis	421.2959636
Mean	0.02166344294
Median Absolute Deviation (MAD)	0
Skewness	19.81634398
Sum	11.2
Variance	0.08759180124
Monotocity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	509	98.5%
0.8	2	0.4%
0.2	2	0.4%
0.4	1	0.2%
6.4	1	0.2%
1.4	1	0.2%
1	1	0.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	509	98.5%
0.2	2	0.4%
0.4	1	0.2%
0.8	2	0.4%
1	1	0.2%

Value	Count	Frequency (%)
6.4	1	0.2%
1.4	1	0.2%
1	1	0.2%
0.8	2	0.4%
0.4	1	0.2%

area
Real number (ℝ_≥0)

ZEROS

Distinct	251
Distinct (%)	48.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	12.84729207
Minimum	0
Maximum	1090.84
Zeros	247
Zeros (%)	47.8%
Memory size	4.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0.52
Q3	6.57
95-th percentile	48.714
Maximum	1090.84
Range	1090.84
Interquartile range (IQR)	6.57

Descriptive statistics

Standard deviation	63.65581847
Coefficient of variation (CV)	4.954804337
Kurtosis	194.1407211
Mean	12.84729207
Median Absolute Deviation (MAD)	0.52
Skewness	12.84693353
Sum	6642.05
Variance	4052.063225
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	247	47.8%
1.94	3	0.6%
3.71	2	0.4%
0.9	2	0.4%
1.95	2	0.4%
2.14	2	0.4%
2.18	2	0.4%
1.56	2	0.4%
9.96	2	0.4%
28.66	2	0.4%
Other values (241)	251	48.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	247	47.8%
0.09	1	0.2%
0.17	1	0.2%
0.21	1	0.2%
0.24	1	0.2%

Value	Count	Frequency (%)
1090.84	1	0.2%
746.28	1	0.2%
278.53	1	0.2%
212.88	1	0.2%
200.94	1	0.2%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	X	Y	month	day	FFMC	DMC	DC	ISI	temp	RH	wind	rain
0	7	5	mar	fri	86.2	26.2	94.3	5.1	8.2	51.0	6.7	0.0
1	7	4	oct	tue	90.6	35.4	669.1	6.7	18.0	33.0	0.9	0.0
2	7	4	oct	sat	90.6	43.7	686.9	6.7	14.6	33.0	1.3	0.0
3	8	6	mar	fri	91.7	33.3	77.5	9.0	8.3	97.0	4.0	0.2
4	8	6	mar	sun	89.3	51.3	102.2	9.6	11.4	99.0	1.8	0.0
5	8	6	aug	sun	92.3	85.3	488.0	14.7	22.2	29.0	5.4	0.0
6	8	6	aug	mon	92.3	88.9	495.6	8.5	24.1	27.0	3.1	0.0
7	8	6	aug	mon	91.5	145.4	608.2	10.7	8.0	86.0	2.2	0.0
8	8	6	sep	tue	91.0	129.5	692.6	7.0	13.1	63.0	5.4	0.0
9	7	5	sep	sat	92.5	88.0	698.6	7.1	22.8	40.0	4.0	0.0

Last rows

	X	Y	month	day	FFMC	DMC	DC	ISI	temp	RH	wind	rain	area
507	2	4	aug	fri	91.0	166.9	752.6	7.1	25.9	41.0	3.6	0.0	0.00
508	1	2	aug	fri	91.0	166.9	752.6	7.1	25.9	41.0	3.6	0.0	0.00
509	5	4	aug	fri	91.0	166.9	752.6	7.1	21.1	71.0	7.6	1.4	2.17
510	6	5	aug	fri	91.0	166.9	752.6	7.1	18.2	62.0	5.4	0.0	0.43
511	8	6	aug	sun	81.6	56.7	665.6	1.9	27.8	35.0	2.7	0.0	0.00
512	4	3	aug	sun	81.6	56.7	665.6	1.9	27.8	32.0	2.7	0.0	6.44
513	2	4	aug	sun	81.6	56.7	665.6	1.9	21.9	71.0	5.8	0.0	54.29
514	7	4	aug	sun	81.6	56.7	665.6	1.9	21.2	70.0	6.7	0.0	11.16
515	1	4	aug	sat	94.4	146.0	614.7	11.3	25.6	42.0	4.0	0.0	0.00
516	6	3	nov	tue	79.5	3.0	106.7	1.1	11.8	31.0	4.5	0.0	0.00

Most frequent

	X	Y	month	day	FFMC	DMC	DC	ISI	temp	RH	wind	area	count
0	3	4	aug	sun	91.4	142.4	601.4	10.6	19.8	39.0	5.4	0.00	2
1	3	6	jun	fri	91.1	94.1	232.1	7.1	19.2	38.0	4.5	0.00	2
2	4	3	aug	wed	92.1	111.2	654.1	9.6	20.4	42.0	4.9	0.00	2
3	4	4	mar	sat	91.7	35.8	80.8	7.8	17.0	27.0	4.9	28.66	2

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows

Duplicate rows

Most frequent